Uses Qwen2.5-3B-Instruct Q8_0 via LlamaCppBackend to complement heuristic-based dataset detection when heuristics are uncertain. - New llm_assist.py: VLM instruction generation, column classification, and user-friendly warning generation for dataset issues - Pre-cache helper GGUF on FastAPI startup (background thread) - Reorder training pipeline: dataset processing runs BEFORE model load to avoid VRAM contention (detect → dataset → model → train) - Add pre_detect_and_load_tokenizer() for lightweight detection - LLM warnings on VLM conversion failures (broken URLs, missing images) - LLM column classification fallback when heuristics return unknown - Graceful degradation: all paths unchanged when helper unavailable |
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| .. | ||
| assets | ||
| auth | ||
| core | ||
| loggers | ||
| models | ||
| plugins/data-designer-unstructured-seed | ||
| requirements | ||
| routes | ||
| state | ||
| tests | ||
| utils | ||
| colab.py | ||
| main.py | ||
| run.py | ||